Spotlight On Data Infrastructure Teams
Database Access Platform |Learn More
The Database Access Platform team builds and operates a flexible query gateway that facilitates data abstractions to operate at sub-millisecond latencies while allowing Netflix microservices to more easily store, consume, and manage their data. This team holds a substantial responsibility in enabling Netflix microservices to satisfy their ever-growing and evolving data needs.
This team is passionate about distributed data systems technology. We are active in the open source community and believe in operating what we own. We are a small team responsible for business critical systems and are committed to a culture of feedback and engineering
Data Platform Infrastructure |Learn More
The Data Platform Infrastructure team acts as a platform for our own data platforms. Our shared infrastructure and tooling enable Netflix to quickly innovate on providing state-of-the-art data and analytics systems to the rest of the company without building bespoke scaffolding for each new system. To do this, we create high-leverage infrastructure, control, and deployment systems that are fine-tuned for the needs of running our data systems at scale; uniquely, many of our tools and systems are written in Python, so this is a great team to consider if you enjoy working in a variety of languages.
Big Data Compute |Learn More
Responsible for providing the cloud-native platform for distributed data processing at Netflix. This team is central to batch data processing in Data Platform. It provides support for Spark, to ETL data into the Petabytes-scale data warehouse and access that data using Spark and Presto/TrinoDB. It also provides sub-second latency for a certain class of queries using Druid. We are looking for exceptional talent with experience in Spark, Presto / Trino, Druid, Iceberg and distributed database systems in general. Roles in this team involve solving super interesting and challenging problems of working with data at scale, building features and performance enhancements and working closely with open source communities to shape the projects and make contributions.
Big Data Orchestration |Learn More
Offers the platform for scheduling, orchestrating and executing big data jobs and workflows in a self serve manner. These platforms include foundational services that host all ETL and ML workloads running on Big Data Systems at Netflix. These fully distributed systems are constantly evolving for Netflix scale with state of the art technology. We are moving towards event driven and intelligent orchestration which would need minimal user input/intervention.
This Would Be Your Dream Job If You Enjoy
About You
A Few More Things About Us
As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of Netflix is typically $100,000 – $700,000
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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